So sánh phương pháp

	Hồi quy tuyến tính đơn giản mạnh mẽ	Hồi quy Quantile
Lĩnh vực	Thống kê	Kinh tế lượng
Họ	Regression model	Regression model
Năm ra đời	1964-1987	1978
Người khởi xướng	Peter J. Huber (M-estimators, 1964); Rousseeuw & Leroy (practical framework, 1987)	Koenker & Bassett
Loại	Robust linear regression	Conditional quantile regression
Công trình gốc	Rousseeuw, P. J., & Leroy, A. M. (1987). Robust Regression and Outlier Detection. John Wiley & Sons. ISBN: 978-0471852339	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
Tên gọi khác	robust SLR, M-estimator simple regression, outlier-resistant simple regression, robust bivariate regression	conditional quantile regression, regression quantiles, Kantil Regresyon
Liên quan	6	5
Tóm tắt	Robust simple linear regression fits a straight line through bivariate data using loss functions or weighting schemes that down-weight outliers, producing slope and intercept estimates that are far less sensitive to extreme observations than ordinary least squares while remaining easy to interpret.	Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.